Latest AI and machine learning research in genetics for healthcare professionals.
Compositionality refers to the ability of an intelligent system to construct models out of reusable ...
Accurate predictions of RNA secondary structures can help uncover the roles of functional non-coding...
This paper introduces a kernel based fuzzy clustering approach to deal with the non-linear separable...
The ubiquitin-proteasome system (UPS) is the primary route for selective protein degradation in huma...
Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of c...
Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-negative MPNs) such as polycythemi...
. At present, the research methods for image genetics of Alzheimer's disease based on machine learni...
Cancer is a poligenetic disease with each cancer type having a different mutation profile. Genomic d...
Gene/feature selection is an essential preprocessing step for creating models using machine learning...
Aptamers can be regarded as efficient substitutes for monoclonal antibodies in many diagnostic and t...
Identification of thermostable and alkaline xylanases from different fungal and bacterial species ha...
In the medical field, successful classification of microarray gene expression data is of major impor...
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has l...
Viral co-infections occur in COVID-19 patients, potentially impacting disease progression and severi...
Generative models have shown breakthroughs in a wide spectrum of domains due to recent advancements ...
Knowing the transcription factor binding sites (TFBSs) is essential for modeling the underlying bind...
Detection of DNA copy number alteration in cancer cells is critical to understanding cancer initiati...
One type of cancer usually consists of several subtypes with distinct clinical implications, thus th...
Proteins often exert their function by binding to other cellular partners. The hot spots are key res...
BACKGROUND: Due to the complexity of the biological systems, the prediction of the potential DNA bin...
For complex machine learning (ML) algorithms to gain widespread acceptance in decision making, we mu...